Triple

T13257544
Position Surface form Disambiguated ID Type / Status
Subject James Marsden E315697 entity
Predicate notableWork P4 FINISHED
Object Hop E778245 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hop | Statement: [James Marsden, notableWork, Hop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hop
Context triple: [James Marsden, notableWork, Hop]
  • A. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • B. Hop
    Hop is the commonly used nickname for the Hopkins Center for the Arts at Dartmouth College, a major hub for performing and visual arts on campus.
  • C. Hop chosen
    Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
  • D. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • E. Hap
    Hap is a supporting character in the 1989 romantic fantasy film "Always," which centers on a deceased pilot who returns as a spirit to guide the living.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4240d881909f0ee898fd272826 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.